Author: Emily R Adams; Rekha Anand; Monique I Andersson; Kathryn Auckland; J Kenneth Baillie; Eleanor Barnes; John Bell; Tamsin Berry; Sagida Bibi; Miles Carroll; Senthil Chinnakannan; Elizabeth Clutterbuck; Richard J Cornall; Derrick W Crook; Thushan De Silva; Wanwisa Dejnirattisai; Kate E Dingle; Christina Dold; David W Eyre; Helen Farmer; Sarah J Hoosdally; Alistair Hunter; Katie Jeffrey; Paul Klenerman; Julian Knight; Clarice Knowles; Andrew J Kwok; Ullrich Leuschner; Chang Liu; Cesar Lopez-Camacho; Philippa C Matthews; Hannah McGivern; Alexander J Mentzer; Jonathan Milton; Juthathip Mongkolsapaya; Shona C Moore; Marta S Oliveira; Fiona Pereira; Timothy Peto; Rutger J Ploeg; Andrew Pollard; Tessa Prince; David J Roberts; Justine K Rudkin; Gavin R Screaton; Malcolm G Semple; Donal T Skelly; Elliot Nathan Smith; Julie Staves; David Stuart; Piyada Supasa; Tomas Surik; Pat Tsang; Lance Turtle; A Sarah Walker; Beibei Wang; Charlotte Washington; Nicholas Watkins; James Whitehouse; Sally Beer; Robert Levin; Alexis Espinosa; Dominique Georgiou; Jose Carlos Martinez Garrido; Hannah Thraves; Elena Perez Lopez; Maria del Rocio Fernandez Mendoza; Alberto Jose Sobrino Diaz; Veronica Sanchez
Title: Evaluation of antibody testing for SARS-Cov-2 using ELISA and lateral flow immunoassays Document date: 2020_4_20
ID: 5trox1i5_37
Snippet: The main study limitation is that numbers tested were too small to provide tight confidence intervals around performance estimates for any specific LFIA device. Expanding testing across diverse populations would increase certainty, but given the broadly comparable performance of different assays, the cost and manpower to test large numbers may not be justifiable......
Document: The main study limitation is that numbers tested were too small to provide tight confidence intervals around performance estimates for any specific LFIA device. Expanding testing across diverse populations would increase certainty, but given the broadly comparable performance of different assays, the cost and manpower to test large numbers may not be justifiable.
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